BB for the students to get an idea what problems to choose. b) Expected attributes of choosing a capstone project are also posted on BB (see later for more details). c) The students are asked to propose 3 to 4 individual new ideas of their own while still work (co-op) that are good candidate topics (in their view) for the capstone project. They are encouraged to identify problems from their work experience, and those that might be useful to their company (if they are not confidential). They are also notified that this is a required first task of the course for credit. Each student needs to submit this list along with sketches via email, but no later than the first day of classes. Almost all students were
Spatial Visualization Training,” ICERI2017 Proceedings, pp. 5373– 5381, October 2017.[10] N. Delson, and L. Van Den Einde, “Sketching, Assessment, and Persistence in Spatial Visualization Training on a Touchscreen”, 124 ASEE Annual Conference & Exposition th proceedings, Columbus, OH, 2017.[11] E. Hilton, M. Paige, B. Williford, W. Li, T. Hammond, and J. Linsey, “Engineering Drawing for the Next Generation: Students Gaining Additional Skills in the Same Timeframe," in Proceedings for the 124th ASEE Annual Conference & Exposition. Columbus, OH, 2017.[12] J.E. Bell, et al. "Board# 32: Work in Progress: A Study of Augmented Reality for the Development of Spatial
measuring academic success. Practical Assessment, Research & Evaluation, 20(5), 1–20. Retrieved from http://pareonline.net/getvn.asp?v=20&n=5[6] Lowell, B. L., Salzman, H., Bernstein, H., & Henderson, E. (2009). Steady as she goes? Three generations of students through the science and engineering pipeline. Paper presented at the Annual Meetings of the Association for Public Policy Analysis and Management, Washington, DC.[7] Veenstra, C. P., Dey, E. L., & Herrin, G. D. (2008). Is modeling of freshman engineering success different from modeling of non‐engineering success?. Journal of Engineering Education, 97(4), 467-479.[8] Komarraju, M., Ramsey, A., & Rinella, V. (2013). Cognitive and non-cognitive
continuous variables and their descriptive statistics is provided in Appendix A,and proportions for the continuous variables are provided in Appendix B. The dependent variableis a dichotomous variable indicating if students marked engineering as their major at the end ofthe fourth year of college. As all students in the sample indicated engineering at the beginning ofcollege, this variable represents whether they were retained in engineering at the end of theirfourth year of college or not. Students who initially did not select engineering, but later switchedmajors into engineering, were not included in this analysis for two reasons. First, the number ofstudents who switch into engineering tends to be quite small, much smaller than the number
product bins. The students modify an existing program to track the number of pallets moving into and out of the system. Most of the exercise is programming a moderately complicated HMI screen for the process. Figure 1. Production system laboratory exercise. (a) (b)Figure 2. Steel reheat furnace laboratory exercise: (a) exit end; (b) entrance end.Advanced PLC Course OrganizationThe objectives of the second course are to teach: Working on engineering teams for large control system projects Other PLC programming languages (sequential function chart, function block diagram, structured text) Putting a system together – Specifying a system bill of
models were subsequently developed to capture and refine the complexity of this concept [2],[4], [5]. While these models have framed epistemological beliefs in somehow different ways [2],they all propose that multiple dimensions should be considered when understandingepistemological beliefs. These dimensions include a) certainty of knowledge, the extent to whichthe knowledge is considered as fixed or fluid, b) simplicity of knowledge, the extent to which theknowledge is viewed as discrete or relative/contextual, c) source of knowledge, the extent towhich someone is being a receiver or constructor of knowledge, d) justification for knowing, theextent to which someone justifies knowledge through evidence or authority, and e) attainabilityof truth
selected pattern in activity one.Kaplan (2000) has presented different approaches for visualizing geometric patterns includingplain, outline, checkerboard and outline-and-checkerboard approaches. In this activity, theseapproaches are utilized to develop the three-dimensional shading screen from the two-dimensional geometric pattern.The shading function of the selected pattern, a 12-fold polygon, is shown in figure 5. Figure 7(a)shows the plain pattern in the x-y plane. The lines that create the pattern are offset on both sideof the lines to generate outline. As shown in figure 7 (b), the blue lines indicate the outline ofpatterns that are used to visualize solids and voids in the screen. Pattern outlines are filled withhatches in figure 7 (c
I am able to solve thermodynamics problems Table 3 (continued): Overview of survey questions and the factors which they intend to measure Factor Contributing Questions Content assessment questions: 1. All heat engines: a. can attain thermal efficiencies of 50% b. are reversible c. convert only a part of their heat intake into work and discard the remainder to the surroundings d. add heat very quickly so that the heat-addition process always happens at constant volume. 2. The Stirling engine can in principle
immersive and interactive virtualenvironment. Second, the edited 360-degree videos were transferred into Unity to create the360-degree video environment of the intersection. Figure 3 shows the completed VR module inUnity while the viewer and the instructor used it to observe the videos. (a) (b) (c) Figure 3. The virtual learning environment (VR module) includes: (a) computer desktop screen (b) instructor view, and (c) student view (with HTC Vive head-mounted display).Verify that all data that would be collected in the field can be collected in the VR 360-degreevideo environmentIf the VR 360-degree video environment is to work as a substitute for field data collection
. 67-73, 2017.4. K.W. Lau, P.Y. Lee, and M.Y. He, “360 degree immersive videos: a way to improve organizational learning practices,” Development and Learning in Organizations, Vol. 32, No. 6, pp. 8-11, 2018.5. G. Makransky, T.S. Terkildsen, and R.E. Mayer, “Adding immersive virtual reality to a science lab simulation causes more presence but less learning,” Learning and Instruction, https://doi.org/10.1016/j.learninstruc.2017.12.007, 2017.6. C. Baukal, D. Basquez, M. Pappe, B. Johnson, B. Weimer, and J. McGuire, Fired Heater Flooding, presented at 2017 American Flame Research Committee Meeting, Houston, December 2017.7. B.G. Witmer and M.J. Singer, “Measuring presence in virtual environments: A presence questionnaire
which they recovered successfullyand one in which they recovered unsuccessfully. Failure is thus defined in terms of how thestudent views it, similar to what they view as successful and unsuccessful. This section iscomposed of two sets of seven open-response questions, one for an unsuccessful recovery andone for a successful recovery respectively. They are as follows: a. Approximately, how long ago did this incident occur? b. Briefly describe the incident. c. How did you react to this failure? Please elaborate. d. Describe, if applicable, any immediate effect on your behavior or actions you took in response to the failure. e. Why do you consider your recovery successful/unsuccessful? Please elaborate. f. Do you believe
understanding of introductory engineering concepts using active learning strategies.Dr. Ashish Agrawal, University of Cape Town Ashish Agrawal is a postdoctoral research fellow in the Department of Chemical Engineering at the Uni- versity of Cape Town. He received his PhD in Engineering Education from Virginia Tech. Prior to that, he completed his MS from Virginia Tech and B-Tech from Indian Institute of Technology Roorkee, both in Electrical Engineering. His research interests include sociology of education, experiences of faculty and students in engineering, and critical and inclusive pedagogies.Dr. Jennifer M. Case, Virginia Tech Jennifer Case is Head and Professor in the Department of Engineering Education at
. , October 2014. [Online]. Available: ProQuest, https://search-proquest-com.libproxy.uwyo.edu/docview/1636194641?pq-origsite=summ on. [Accessed October 28, 2018].[2] L. Linnenbrink-Garcia, “Repairing the leaky pipeline: A motivationally supportive intervention to enhance persistence in undergraduate science pathways,” Contemporary Educational Psychology, vol. 53, p. 181-195, April 2018. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0361476X17302163 [Accessed November 1, 2018].[3] B. Junge, “Promoting Undergraduate Interest, Preparedness, and Professional Pursuit in the Sciences: An Outcomes Evaluation of the SURE Program at Emory University,” Life Sciences
particular relevant courses.References[1] ABET Engineering Accreditation Commission, Criteria for Accrediting EngineeringPrograms. Baltimore, MD: ABET, 2017. [E-book][2] National Research Council, Discipline Based Education Research. Washington D.C:National Academies Press, 2012. [E-book][3] D. Jonassen, “Engineers as Problem Solvers,” in Cambridge Handbook of EngineeringEducation Research, A. Johri and B. Olds, Eds. Cambridge: Cambridge University Press, 2014,pp. 103-118. [E-book][4] M. Chi, et al., “Categorization and representation of physics problems by experts andnovices,” Cognitive Science, vol. 5, issue 2, pp. 121–152, 1981.[5] C. Atman, et al., “Engineering Design Processes: A Comparison of Students and ExpertPractitioners,” Journal of
loadin the comprehension of animations. Computers in Human Behavior, 27(1), 36-40.[8] Lin, L., & Atkinson, R. K. (2011). Using Animations and Visual Cueing to Support Learningof Scientific Concepts and Processes. Computers & Education, 56(3), 650-658.[9] de Koning, B. B., Tabbers, H. K., Rikers, R. M. J. P., & Paas, F. (2010b). Learning bygenerating vs. receiving instructional explanations: Two approaches to enhance attention cueingin animations. Computers & Education, 55(2), 681-691.[10] de Koning, B. B., Tabbers, H., Rikers, R. M. J. P., & Paas, F. (2009). Towards a frameworkfor attention cueing in instructional animations: Guidelines for research and design. EducationalPsychology Review, 21(2), 113-140.[11] de Koning, B. B
voltage of the VCVS appears atterminal VCD and is a half-wave rectified triangle which may be positive-going or negative-going, depending upon the polarity selected by switch S1. This output of the VCVS provides thecollector voltage for BJTs or drain voltage for MOSFETs. Resistor R10 is a built-in current-limiting resistor used with diode IV measurements. The anode of a diode under test is connectedto terminal DA. The VCVS output current is limited to approximately ±25mA.Fig. 2. Partitioned curve tracer schematic. Functions of each block are described in the text.Block B is a transresistance amplifier that produces a voltage at terminal VI that is proportionalto the current entering the virtual-ground input (terminals S_E and DC). The
). Teamwork category clusters the following themes: (a) teamworkquality (TWQ), (b) teamwork in sustainable construction. Education category clusters thefollowing themes: (a) interdisciplinary teamwork in the university, (b) student competitionsbenefits and challenges. KSA category clusters the following themes: (a) experience in the field,(b) skills required for interdisciplinary teamwork, (c) KSA benefits and challenges. In terms ofteamwork, participants acknowledged their overall performance as good. As for education, allthe participants emphasized the great learning opportunity presented by student competitions, butthey also commented on some challenges resulting from it.IntroductionLately, the architecture, engineering, and construction (AEC
andconfusing for students. One manner in which we have attempted to simplify the sheer number ofmathematical approaches that the students need to consider in our Vibrations course is toconsider any linear SDOF and MDOF problem using a state-space approach, in which only fourmatrices, A , B , C , D , need to be obtained from the system in order to fully evaluate the 1 response and the associated properties (natural frequencies, damping ratios, mode shapes, etc.) ofthe system, regardless of the initial conditions or forcing function [1]. While we have found thisapproach to be effective in our instruction of the course, we have commonly encounteredscenarios in which the students have
received SNR, to the thresholds in each state, each of which hascertain packet error probability. Each state can have a different threshold level, and depending ona given threshold, we associate an error probability with that state. In our approach we use threestate Markov chain model, where there are two good states, E (Excellent) and F (Fair), and asingle bad state, B. This gives us an insight for modeling wireless channels more accurately.Assuming that probability of transition from state E to state B and vice versa is very low, we canrepresent this with the diagram in Figure 1. PEF PFB
class. (seeFigure 2) The proportion of B grades increased by 21%, the proportion of D grades decreased by36%, and the proportion of F grades decreased by 62%.A Pearson Chi2 Test of Independence showed strong evidence that an association does existbetween students' final grades in Statics and the design phase they experienced (X2 [10, n=2,412]= 20.84, p = 0.016). The number of students in Phase 3 who earned a B is significantly higher(z=2.31, p
technology to support the creation of a scalable and sustainablemodel for sharing knowledge, tools and resources to promote LGBTQ inclusion in environmentsthat are traditionally difficult to penetrate.A Virtual Community of Practice was established in the fall of 2015 to promote LGBTQ equalityand inclusion in Engineering. VCP participants were recruited via email distribution lists, andultimately 20 leaders were selected from institutions across the country.Since the establishment of the VCP, members have met online via Adobe Connect every 2-4weeks during the academic year to (a) identify LGBTQ inclusion approaches appropriate fortheir department context, (b) share resources and (c) support each other as they develop andimplement an action plan to
believe our studies are useful in comparing social psychological theoriesbefore a theory is leveraged for novel interventions. They suggest that ODT-I should becombined with other theories to obtain a full picture of need satisfaction and affect amongstudents.AcknowledgmentsThis research was funded by NSF Award 1730262.References[1] G. J. Leonardelli, C. L. Pickett, and M. B. Brewer, “Optimal Distinctiveness Theory: A Framework for Social Identity, Social Cognition, and Intergroup Relations,” in Advances in Experimental Social Psychology, vol. 43, 2010, pp. 63–113.[2] M. B. Brewer and L. R. Caporael, “An evolutionary perspective on social identity: Revisiting groups,” in Evolution and social psychology, M. Schaller, J. A
identified needis proposed in Appendix B. This plan could also take into account other faculty aspects (e.g.,research, administrative training). In the proposed plan, a given program is characterized byfaculty career stage and considers six elements (participation, complexity level, funding, programtype and evaluation). This elements are explained in the following paragraphs.Participation of faculty members in training programs could be mandatory or not according toindividual departmental hiring and promotion policies. To date, no policies are in place; everydepartment has its own policies. Regarding incentives, it is known that faculty members’participation might increase with the providing of incentives. Complexity level is defined as
);”. This will give them a larger window to see shapes in.ASEE Resource Exchange8. Ask students to go to line 3 and type in “rect(15,15,200,200);” This will give them ashape to fill with color. If students know how to code this or other fillable shapes, theycan code that shape into line three instead.9. Explain to students that we want to fill the shape with color, so to do so we need togo to line 2 and first type “fill”. Then, tell students that we need to give the computer theRGB values (in that order) for their favorite color or hue from their color worksheet. To doso, students should type “fill(R,G,B);”. For example, my Processing screen might look likethissize(500,500);fill(200,50,4);rect(200,200,15,15);Every student should have a shape on
. 223-242, 2006.[4] L. S. Hagedorn, A. Cabrera, and G. Prather, "The community college transfer calculator: Identifying the course-taking patterns that predict transfer," Journal of College Student Retention: Research, Theory & Practice, vol. 12, no. 1, pp. 105-130, 2010.[5] W. R. Doyle, "Impact of increased academic intensity on transfer rates: An application of matching estimators to student-unit record data," Research in Higher Education, vol. 50, no. 1, pp. 52-72, 2009.[6] M. Luo, J. E. Williams, and B. Vieweg, "Transitioning transfer students: Interactive factors that influence first-year retention," College and University, vol. 83, no. 2, p. 8, 2007.[7] R. Pennington, "Rethinking grade transfer
for work on or related to their projects (summarized in Table 1). Chart 1: Comparing Two Journeys Group A Group B Contact Course Contextualism Persistence Contact Course Contextualism Persistence with credit demonstrated with credit demonstrated miners minersPhase Substantial 1 course (all Substantial Finished Some 1 course Some Finished1 students) (all
students thought about whilewriting at the start of the semester (1A) and the concepts the report having learned by the end ofthe semester (1B). At the start more than half (14 out of 26) think about concise writing,followed by clear writing and good word choice. The “active voice,” organization, structure, anda thesis were of concern to approximately 17% of students. At the end of the semester about halfof the respondents (11 of 23) report learning to be more concise. Note the changes in ranking ofconcepts and the inclusion of more formal writing concepts at the end of the semester, whichmay indicate that students are now working with the formal concepts. A B Figure 1. Top 1-3 writing
) program to support courses implementing significant active learningexperiences [10]; implementation of curricular peer mentoring and hiring of a PostdoctoralTeaching Fellow into the School of Engineering to serve as an embedded expert. While theseinterventions are all highly synergistic with each other and with broader university-levelinterventions, the introduction of a Postdoctoral Teaching Fellow in the School of Engineeringserved as a keystone to the Engaged Learning Initiative. The first engineering Postdoctoral Teaching Fellow was present in the school fromAugust 2014 – May 2015 (PDTF A), and the second from August 2016 - present (PDTF B).Both PDTFs were hired through an open external search process, with the explicit goal that
libraries fill the requests?Lending libraries are identified in the data by a three-character alpha-numeric code; for example,Colorado State University is coded as “COF”. Abbreviations were decoded using RapidILL’sCurrent Members tool available on their website [28].Overall, 274 ILL requests in this five year period, or 14%, were not filled, as denoted in Figure 8by the “Patron Notification B” category. This result could be for a variety of reasons; the itemcould be very new or old, rare, otherwise unavailable, or Parks Library may already have the itemavailable and be able to fulfill the user’s request through Course Reserve or general checkout. Figure 7: Status of engineering patron making the ILL request, all years combinedAdditionally
SCARA robot. (a) Point A (b) Point B Figure 11. Vision-based tracking for a SCARA robot to picks and place an object from Point A to Point BFor the entire automation, the student programs the SCARA Robot using a MPB pendant to movefrom Point B to Point of destination and also the One-Axis robot is programmed using an HPBpendant to move from Point A to Point B as shown in Figure 11. The student also programs theArduino to control the tilt-head servos based on the output of the Jevois camera and also arduinois programmed to send out a high 24V pulse using the